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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 8976
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    Explanations

    large numbers or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with statistics or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ramid
    -0.76
    lied
    -0.76
    actic
    -0.71
    ipal
    -0.70
    Agent
    -0.70
    imedia
    -0.66
    imaru
    -0.66
    agall
    -0.66
    tern
    -0.65
    inges
    -0.64
    POSITIVE LOGITS
     pounds
    0.84
     ILCS
    0.82
    MHz
    0.82
     calories
    0.81
     lbs
    0.79
     MHz
    0.79
     degrees
    0.78
     mph
    0.78
     acres
    0.78
     miles
    0.78
    Activations Density 0.084%

    No Known Activations